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Econometrics
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Hayashi's "Econometrics" promises to be the next great synthesis of modern econometrics. It introduces first year PhD students to standard graduate econometrics material from a modern perspective. It covers all the standard material necessary for understanding the principal techniques of econometrics from ordinary least squares through cointegration. The book is ... distinctive in developing both time-series and cross-section analysis fully, giving the reader a unified framework for understanding and integrating results. "Econometrics" has many useful features and covers all the important topics in econometrics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments).
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Econometrics is an important area of study because it strives to ground mere theory into solid, empirical evidence that can then be tested. It can be used for practical application and planning of everything from local government budgets to international trade. Advanced technology has made forecasting models even more precise than ever before and is continually being improved to decrease margins of error. While it is not a perfect system and can be used for less than factual purposes, econometrics provides an important foundation for consumers, businesses, and governments.
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Econometrics has many useful features and covers all the important topics in econometrics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments). Maximum likelihood estimators for a variety of models (such as probit and tobit) are collected in a separate chapter. This arrangement enables students to learn various estimation techniques in an efficient manner. Eight of the ten chapters include a serious empirical application drawn from labor economics, industrial organization, domestic and international finance, and macroeconomics. These empirical exercises at the end of each chapter provide students a hands-on experience applying the techniques covered in the chapter.
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Econometrics has several overarching objectives. The first objective is to operationalize empirically economic theory. Economic theory is concerned with relations between variables of economic interest and the factors believed to determine those variables. A simple example of such a relationship is that of a demand function. Economic theory would postulate, for example, that the quantity of a certain type of automobile demanded depends on, among other things, the price of the vehicle. In particular, theory would stipulate that fewer units of the automobile will be demanded, the higher the price of the vehicle, other things being equal.
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At Victoria, Econometrics study begins in earnest in your second year. First-year courses cover basic economics, statistical techniques used in research and business, and mathematics. You can study towards an Econometrics major for the Bachelor of Commerce and Administration [BCA] degree, or for an Economics major for the Bachelor of Arts [BA] with an emphasis on Econometrics.
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Arduin, Laffer & Moore Econometrics (ALME) represents the culmination of the economic, government, and corporate careers of Donna Arduin and Dr. Arthur B. Laffer. Individually and now collectively, the principals of ALME have advised private and government entities on long term economic decisions for nearly four decades. ALME's distinctive research and solid reputation are based on the expertise of the firm's founders, as well as the staff of well trained economists and analysts. Through the application of decades of economic and budget research at the government, private, and academic levels, ALME is able to provide proprietary analysis, investment models, and unique perspectives on global macroeconomic workings including in-depth analysis of specific industry sectors, states, countries, companies and projects.
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